Conferences  >  Informatics  >  Natural Language Processing, Computational Linguistics

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Generative AI systems are rapidly being integrated into global systems of cultural communication, consumption, and production. As these technologies shape our cultures, we urgently need conceptual foundations for investigating the cultural inclusivity of generative AI pipelines (from data collection, to model development and deployment, to evaluation), as well as methods to study the varying societal and cultural impacts of generative AI. This Dagstuhl Seminar wants to bring together scholars and practitioners from computer science, social sciences, the tech industry, and creative industries to discuss the cultural implications of generative AI and find paths toward building generative AI that can be responsive to the diverse needs of individuals, groups, and societies around the world. Together, seminar participants will build shared language and frameworks for reshaping the technical and social architectures of generative AI.

Implementation and Applications of Artificial Intelligence,    Social Networks and Social Aspects of Information Technology

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar Task and Situation-Aware Evaluation of Speech and Speech Synthesis is an opportunity to help redefine the metrics and methods traditionally used to evaluate speech synthesis and human speech as they are used across disciplines, tasks, and applications. The seminar is designed as a collaborative platform where experts from engineering, the humanities, social sciences, and more come together to challenge the status quo and drive innovation. Through the combination of perspectives and the bridging of gaps between scientific disciplines we hope to uncover and develop evaluation techniques that are not only scientifically rigorous but also contextually relevant to the diverse uses of speech technology today. We seek the collective expertise of participants from diverse areas of science and technology – ranging from phonetics to machine learning, from rhetorical analysis to practical applications in assistive technologies. This interdisciplinary approach is essential for crafting evaluation standards that are as dynamic and nuanced as the technologies and applications they aim to assess. To this end, we encourage you to share, debate, and refine ideas, methods, and tools that can contribute to a transformative discussion on the evaluation of speech synthesis.

International Academy of Computing Technology, sponsored by Guangdong University of Finance and Economics, and supported by Xi'an University of Posts and Telecommunications

2025 7th International Conference on Natural Language Processing (ICNLP 2025) will take place in Guangzhou, China during March 21-23, 2025. This event is mainly sponsored by Guangdong University of Finance and Economics, and supported by Xi'an University of Posts and Telecommunications, etc.

Email: Dunn@iact.net

Language Analysis and Representation; Phonetics, Phonology, and Morphology; Language Processing Models and Techniques; Language Resources and Tools; Information Extraction and Retrieval;

ICAS - The Interdisciplinary Centre of Advanced Studies

The 8th Advanced Course on Data Science & Machine Learning – ACDL 2025 is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in Deep Learning, Data Science and Generative AI with lectures delivered by world-renowned experts. The Course provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researches, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the ACDL attendants.The Course will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Course.

Event Secretariat;     Email: acdl@icas.cc

artificial intelligence, generative artificial intelligence, large language models, foundation models, NLP, computational linguistics, deep learning, machine learning, data science, big data.

Neural Networks and Artificial Intelligence, Machine Learning,    Implementation and Applications of Artificial Intelligence

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

In a little over a year since the release of ChatGPT, language models (LMs) have stirred concerns in government, over the possibility that citizens will come to believe the textual and spoken output of such models. Similarly, they have caused panic in education, forcing a rethink of what students are learning and how to assess it. Of concern to us here, is whether LMs mean the end of computational and/or cognitive models of human language learning and language use. Does the practical success of LMs mean that computational linguistics (and perhaps even linguistics itself) is no longer relevant? Or are we missing problems with LMs that computational linguistics (and linguistics more generally) could help us both recognize and surmount?

Neural Networks and Artificial Intelligence, Machine Learning,    Implementation and Applications of Artificial Intelligence

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

In this Dagstuhl Seminar, we will underscore key areas in which NLP has the potential to profoundly enhance mental health treatments, including but not limited to (1) understanding how mental states change and how therapeutic change occurs; (2) how NLP can help therapist training and feedback; (3) technological gaps, privacy and multilingual issues; (4) evaluation, validation and ethical concerns.